Imperial College London
Dr Jiaqi Huang

DrJiaqiHuang

Faculty of Engineering, Department of Bioengineering

Research Associate
 
 
 
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Contact

 

j.huang09

 
 
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Location

 

Royal School of MinesSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@inproceedings{Huang:2014:10.1007/978-3-319-09435-9_12,
author = {Huang, JV and Krapp, HG},
doi = {10.1007/978-3-319-09435-9_12},
pages = {130--141},
title = {A predictive model for closed-loop collision avoidance in a fly-robotic interface},
url = {http://dx.doi.org/10.1007/978-3-319-09435-9_12},
year = {2014}
}
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RIS format (EndNote, RefMan)

TY  - CPAPER
AB  - Here we propose a control design for a calibrated fly-brain-robotic interface. The interface uses the spiking activity of an identified visual interneuron in the fly brain, the H1-cell, to control the trajectory of a 2-wheeled robot such that it avoids collision with objects in the environment. Control signals will be based on a comparison between predicted responses - derived from the known robot dynamics and the H1-cell responses to visual motion in an isotropic distance distribution - and the actually observed spike rate measured during movements of the robot. The suggested design combines two fundamental concepts in biological sensorimotor control to extract task-specific information: active sensing and the use of efference copies (forward models). In future studies we will use the fly-robot interface to investigate multisensory integration. © 2014 Springer International Publishing.
AU  - Huang,JV
AU  - Krapp,HG
DO  - 10.1007/978-3-319-09435-9_12
EP  - 141
PY  - 2014///
SN  - 0302-9743
SP  - 130
TI  - A predictive model for closed-loop collision avoidance in a fly-robotic interface
UR  - http://dx.doi.org/10.1007/978-3-319-09435-9_12
ER  -
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